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Lincoln (Linlin) Xu
Lincoln (Linlin) Xu
Assistant Professor, Geomatics Engineering, University of Calgary
Verified email at ucalgary.ca - Homepage
Title
Cited by
Cited by
Year
Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study
L Wang, KA Scott, L Xu, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4524-4533, 2016
2142016
NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review
K Gao, Y Gao, H He, D Lu, L Xu, J Li
arXiv preprint arXiv:2210.00379, 2022
2002022
A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery
L Xu, J Li, A Brenning
Remote Sensing of Environment 141, 14-23, 2014
1712014
Detecting global urban expansion over the last three decades using a fully convolutional network
L He, C., Liu, Z., Gou, S., Zhang, Q., Zhang, J., & Xu
Environmental Research Letters, 2018
162*2018
A hybrid CNN-GRU model for predicting soil moisture in maize root zone
J Yu, X Zhang, L Xu, J Dong, L Zhangzhong
Agricultural Water Management 245, 106649, 2021
1162021
SAR Image Denoising via Clustering-Based Principal Component Analysis
L Xu, J Li, Y Shu, J Peng
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6858-6869, 2014
802014
3DCTN: 3D convolution-transformer network for point cloud classification
D Lu, Q Xie, K Gao, L Xu, J Li
IEEE Transactions on Intelligent Transportation Systems 23 (12), 24854-24865, 2022
782022
ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation
F Li, DA Clausi, L Xu, A Wong
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 3 - 16, 2017
692017
Transformers in 3d point clouds: A survey
D Lu, Q Xie, M Wei, K Gao, L Xu, J Li
arXiv preprint arXiv:2205.07417, 2022
682022
Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields
F Li, L Xu, P Siva, A Wong, D Clausi
IEEE Journal of Selected Topics in Applied Earth observations and Remote …, 2015
682015
Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data
Y Wu, CR Duguay, L Xu
Remote Sensing of Environment 253, 112206, 2021
602021
Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast
W Tan, J Li, L Xu, MA Chapman
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
442018
Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach
L Xu, F Li, A Wong, D Clausi
IEEE Journal of Selected Topics on Applied Earth Observations and Remote …, 2015
442015
Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field
L Xu, J Li
IEEE Geoscience and Remote Sensing Letters 11 (4), 823 - 827, 2014
402014
Evaluation of the MODIS LAI/FPAR Algorithm Based on 3D-RTM Simulations: A Case Study of Grassland
J Pu, K Yan, G Zhou, Y Lei, Y Zhu, D Guo, H Li, L Xu, Y Knyazikhin, ...
Remote Sensing 12 (20), 3391, 2020
392020
Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data
M Ghanbari, DA Clausi, L Xu, M Jiang
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7476-7491, 2019
392019
TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates
J Yu, W Zheng, L Xu, F Meng, J Li, L Zhangzhong
Journal of Hydrology 613, 128465, 2022
312022
A PSO-XGBoost Model for Estimating Daily Reference Evapotranspiration in the Solar Greenhouse.
J Yu, W Zheng, L Xu, L Zhangzhong, G Zhang, F Shan
Intelligent Automation & Soft Computing 26 (5), 2020
302020
A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery
L Xu, A Wong, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 4913-4924, 2017
302017
A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period
J Yu, S Tang, L Zhangzhong, W Zheng, L Wang, A Wong, L Xu
IEEE Access 8, 199097-199110, 2020
292020
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